Adaptive cluster-based superpixel segmentation and BMWMMBO-based DCNN classification for glaucoma detection

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Signal Image and Video Processing Pub Date : 2023-09-21 DOI:10.1007/s11760-023-02751-4

B. S. Sujithra, S. Albert Jerome

引用次数: 1

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基于自适应聚类的超像素分割和基于bmwmmbo的DCNN分类青光眼检测

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Signal Image and Video Processing ENGINEERING, ELECTRICAL & ELECTRONIC-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

3.80

自引率

8.70%

发文量

328

审稿时长

6 months

期刊介绍： The journal is an interdisciplinary journal presenting the theory and practice of signal, image and video processing. It aims at: - Disseminating high level research results and engineering developments to all signal, image or video processing researchers and research groups. - Presenting practical solutions for the current signal, image and video processing problems in Engineering and Science. Subject areas covered by the journal include but are not limited to: Adaptive processing – biomedical signal processing – multimedia signal processing – communication signal processing – non-linear signal processing – array processing – statistics and statistical signal processing – modeling – filtering – data science – graph signal processing – multi-resolution signal analysis and wavelets – segmentation – coding – restoration – enhancement – storage and retrieval – colour and multi-spectral processing – scanning – displaying – printing – interpolation – image processing - video processing-motion detection and estimation – stereoscopic processing – image and video coding.